Bulk historical pollen data combined with insights from seasonality variations, weather trends, and satellite data to give you the best of what data science has to offer.
Sign up now and get access to a free downloadable sample data file
The secret behind Gspatial’s hyperlocal historical pollen data is the scientifically validated data science techniques designed by best-in-class developers to exceed our clients’ every expectation.
A team of data scientists, developers, and experts is here to cater to you.
Complies with American Academy of Allergy, Asthma, and Immunology (AAAAI) standards and risk standards set by the National Allergy Bureau (NAB)
A resolution of 25 sq km to offer a balance of data and accuracy to clients
20+ years of historical AQI data available in street-by-street level granularity at an hourly frequency.
Pollen counts for the tree, grass, and weed pollen. Historical data for birch, oakwood, ragweed, juniper, Cyprus, cedar, and other 20+ species
Get risk levels classified into low, medium, and high for both types & species of pollen.
Pollen grains from grass. The measuring unit is pollen particles/m3
Pollen grains from trees. The measuring unit is pollen particles/m3
Pollen grains from weeds. The measuring unit is pollen particles/m3
Provides a risk evaluation with levels
Low - Mild risk to those with severe respiratory issues. No risk for the general public
Moderate - Risky for those with severe respiratory problems. Mild risk for the general public High - Risky for all groups of people Very
High - Highly risky for all groups of people
Provides count for subspecies for pollen.
Currently available for Europe, North America, Australia, and New Zealand.
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